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Tech’s Institute for Society, Culture, and Environment (ISCE), the Commonwealth Cyber Initiative (CCI), and a 4-VA Collaborative Research Grant. Required Qualifications • Ph.D. in Geography, Urban Planning
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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. Candidates will collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science. This full
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no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. ● Demonstrated research expertise in federated learning, differential privacy, machine
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that transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will be
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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination of scientific results. The successful candidate will join a
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peer-reviewed publications or preprints. • Must wear protective/safety protection with the ability to stand, stoop, bend, and walk for a long periods. Preferred Qualifications • Strong analytical and
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging